Fitting with MLP using PyTorch
Goal of this repository is to share programs that fit some kinds of curves by high configurable multilayer perceptron (MLP) neural network written in Python 3 using PyTorch.
One-variable real-valued function fitting
The project One-variable real-valued function fitting implements the fitting of a continuous and limited real-valued function defined in a closed interval of the reals.
Please visit here for concepts about this project.
Parametric curve on plane fitting
The project Parametric curve on plane fitting implements the fitting of a continuous and limited real-valued parametric curve on plane where parameter belongs to a closed interval of the reals. It implements two alternative techniques: the official one implements one MLP that fits a vector function f(t) = [x(t), y(t)] instead the 'twin' variant implements a pair of twins of MLPs that fit separately the one variable functions x(t) and y(t).
Please visit here for concepts about this project.
Parametric curve in space fitting
The project Parametric curve in space fitting implements the fitting of a continuous and limited real-valued parametric curve in space where parameter belongs to a closed interval of the reals. It implements one MLP that fits a vector function f(t) = [x(t), y(t), z(t)].
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Two-variables real-valued function fitting
The project Two-variables real-valued function fitting implements the fitting of a continuous and limited two variables real-valued function constrained in a rectangle.
Please visit here for concepts about this project.